AI Engineer, Mid-level
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Job Description
AI Engineer at Verity focusing on transforming AI capabilities into business solutions. Responsible for building systems that automate processes and execute tasks by integrating AI into corporate environments.
Responsibilities:
- Responsible for transforming AI capabilities into real business solutions by building systems that not only respond but also execute tasks, automate processes, and deliver results.
- Will work at the intersection of software engineering, data, and AI, designing and operating intelligent applications integrated into the corporate environment.
Requirements:
- Agent Architecture and Engineering: Design and develop enterprise-ready AI agents, including information retrieval capabilities, orchestration, policy-based routing, tool invocation, evaluation frameworks, and observability across the full lifecycle.
- AI Platform Integration: Build abstraction layers between different AI providers (Anthropic, Google, OpenAI, etc.) to enable smooth integration and portability.
- Minimum of 3 years of experience in cloud-native systems engineering (APIs, microservices, containerization, serverless).
- Minimum of 1 year of experience designing and implementing agent-based solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
- Minimum of 5 years of programming experience in Python, Java, or equivalent; familiarity with agent logging, monitoring, and observability tools.
- Minimum of 5 years of production deployment experience — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
Benefits:
- Meal allowance
- Food allowance
- Home office allowance
- Medical insurance
- Dental insurance
- Life insurance
- Discount partnerships
- Partnerships with vendors and educational institutions
- Recurring agile training
- Verity Break
- #VerityWithYou
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